Skip to content
TrustedSkillsbeta
Back to all skills

Fine Tuning Assistant

Checked
jmsktm·vlatest·ai-ml

This assistant streamlines fine-tuning processes by suggesting optimal hyperparameters and configurations for improved model performance.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Fine-Tuning Assistant, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add jmsktm/claude-settings --skill "Fine-Tuning Assistant" -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jmsktm

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jmsktm/claude-settings at c113b0d7e1.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c113b0d7e1
Manifest
skills/fine-tuning-assistant/SKILL.md
Scanned
1 file, 273 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, "Fine-Tuning Assistant," helps you refine and improve the responses of AI agents. It allows for iterative adjustments to prompts and agent behavior based on feedback, enabling more tailored and accurate outputs. The assistant facilitates a structured process for identifying areas needing improvement and implementing targeted changes.

When to use it

  • Improving response accuracy: When an agent consistently provides incorrect or irrelevant information.
  • Refining tone and style: To adjust the agent's communication style to better suit specific contexts (e.g., formal vs. informal).
  • Correcting biases: To mitigate unwanted biases present in the agent’s responses.
  • Adapting to new tasks: When an agent needs to perform a task it wasn't originally trained for.

Key capabilities

  • Iterative prompt refinement
  • Feedback-driven adjustments
  • Targeted behavioral modifications
  • Bias mitigation support

Example prompts

  • "Fine-tune the assistant to respond more formally."
  • "The last response was inaccurate; please adjust the agent's knowledge base."
  • “Help me correct this bias in the assistant’s responses about [topic].”

Tips & gotchas

This skill requires a foundational understanding of prompt engineering and AI agent behavior. Effective use relies on providing clear, specific feedback for targeted adjustments.